A method for hosting and exhibiting virtual speed-dates between paired participants over a web-based platform for interactive display to viewers in a serialized show format. The platform is configured to simultaneously depict all participants live streams to viewers simultaneously. Speed-dates are limited by a timer, whereby, upon expiration of the timer, the participants encounter a selection screen in which they decide to “couple,” “connect,” or “cut,” indicating their level of desire in seeing their date again in a subsequent episode of the show. Participants are eliminated from the group of participants in accordance with the amount of people with whom they “couple” or “connect.”
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2. The method of claim 1, wherein the number of viewers exceeds 1000.
This invention relates to a method for managing and analyzing viewer data in a video streaming system. The method addresses the challenge of efficiently processing and deriving insights from large-scale viewer interactions, particularly when the number of viewers exceeds 1000. The system collects real-time data on viewer behavior, such as playback progress, engagement metrics, and interaction events, from a distributed network of users. The method processes this data to generate aggregated statistics, identify trends, and provide actionable insights for content providers. It includes steps for filtering irrelevant or redundant data, normalizing metrics across different devices and platforms, and applying machine learning techniques to predict viewer retention and engagement patterns. The system also supports dynamic adjustments to streaming parameters, such as bitrate or buffering thresholds, based on real-time analytics. By handling high-volume viewer data efficiently, the method enables content providers to optimize streaming performance and improve user experience at scale. The invention is particularly useful for live or on-demand video services with large audiences, ensuring reliable data processing and actionable analytics even when the number of concurrent viewers exceeds 1000.
6. The method of claim 5, wherein upon both paired participants selecting “couple” from the selection screen, the paired participants are matched together as confirming both participants are interested in pursuing each other romantically.
This invention relates to a system for facilitating romantic connections between users. The problem addressed is the inefficiency and uncertainty in traditional dating methods where mutual interest is not clearly established before interaction. The system pairs users based on compatibility criteria and provides a mechanism for both participants to confirm mutual romantic interest before further engagement. The system includes a user interface that displays a selection screen to paired participants. Each participant can choose to select a "couple" option from this screen. When both participants independently select "couple," the system confirms mutual romantic interest and matches them together. This ensures that only pairs with confirmed mutual interest proceed further, reducing wasted time and effort for users. The system may also include additional features such as compatibility matching algorithms, profile displays, and communication tools to enhance the user experience. The invention improves the efficiency of romantic matchmaking by ensuring both parties are interested before any further interaction occurs.
7. The method of claim 5, wherein upon one of the paired participants of the speed-date selecting “cut” on the selection screen, the server computer is instructed to alter the algorithm to decrease the likelihood of the paired participants from encountering a speed-date in future dates.
This invention relates to a speed-dating system that adjusts participant pairings based on user feedback. The system addresses the problem of inefficient matching in speed-dating events, where participants may repeatedly encounter others they dislike, leading to a poor experience. The method involves a server computer managing a speed-dating platform where participants are paired for brief interactions. During these interactions, participants can provide feedback by selecting "cut" on a selection screen if they do not wish to meet the paired participant again. When a "cut" selection is made, the server modifies its pairing algorithm to reduce the likelihood of those two participants being matched in future sessions. The algorithm may use this feedback to prioritize different pairings or exclude certain combinations, improving the overall efficiency and satisfaction of the speed-dating process. The system ensures that participants are more likely to encounter compatible matches, enhancing the user experience. The method may also include additional features, such as tracking participant preferences or adjusting pairing criteria based on historical data.
8. The method of claim 5, wherein upon presentation of the selection screen by the virtual machine to the participants, mouse coordinates of the participant computers are relayed to the virtual machine such that they are recreated as a remote mouse cursor which is overlaid onto the selection screen such that the viewers may view the mouse movements of the participants during their selection on the selection screen.
This invention relates to interactive virtual environments and specifically addresses the challenge of enabling real-time visual feedback of participant actions within a shared virtual selection process. The problem solved is the lack of immediate visual insight into how participants are interacting with a selection screen when multiple users are making choices. This can lead to confusion, difficulty in collaborative decision-making, and an inability for observers to understand the selection process as it unfolds. The solution involves a method where, after a virtual machine displays a selection screen to participants, the mouse coordinates from each participant's computer are transmitted back to the virtual machine. These incoming mouse movements are then processed by the virtual machine to generate a remote mouse cursor. This remote cursor is displayed directly on top of the selection screen. Consequently, individuals viewing the screen, referred to as viewers, can observe the real-time mouse movements of the participants as they interact with and make selections on the shared screen. This provides a dynamic and transparent view of the participant selection process.
9. The method of claim 5, the platform displaying a live, text-based chat to both viewers and participants, facilitating communication between participants and viewers during a speed-date.
This invention relates to a platform for facilitating live, text-based communication between participants and viewers during a speed-dating event. The system enables real-time interaction, allowing participants to engage with viewers through a chat interface while the speed-dating session is ongoing. The platform ensures that both participants and viewers can exchange messages, fostering a dynamic and interactive environment. The text-based chat feature enhances engagement by providing a means for viewers to communicate with participants, potentially influencing the dating process or offering feedback. The system may also include additional functionalities, such as participant matching algorithms or viewer participation tools, to optimize the speed-dating experience. The live chat feature distinguishes this platform from traditional speed-dating methods by introducing a new layer of interaction, making the event more inclusive and participatory. The invention aims to improve the efficiency and enjoyment of speed-dating by leveraging real-time communication technology.
15. The method of claim 14, wherein upon presentation of the selection screen by the virtual machine to the participants, mouse coordinates of the participant computers are relayed to the virtual machine such that they are recreated as a remote mouse cursor which is overlaid onto the selection screen such that the viewers may view the mouse movements of the participants during their selection on the selection screen.
This invention relates to a collaborative selection system where multiple participants interact with a shared virtual machine to make selections on a graphical interface. The problem addressed is enabling real-time visualization of participant interactions, particularly mouse movements, during collaborative decision-making processes. The system involves a virtual machine that presents a selection screen to multiple participants. Each participant interacts with the screen using their own computer, and their mouse coordinates are transmitted to the virtual machine. The virtual machine processes these coordinates to recreate a remote mouse cursor that is overlaid onto the selection screen. This allows all participants to view the mouse movements of others in real time as they navigate or select options on the screen. The system ensures synchronization between the participants' local inputs and the centralized display, enhancing transparency and collaboration. The method includes capturing mouse movements from each participant's computer, transmitting these movements to the virtual machine, and rendering them as a shared cursor on the selection screen. This enables participants to observe others' actions, facilitating coordinated decision-making. The system may also include additional features such as participant identification for the displayed cursors, ensuring clarity in tracking individual contributions. The invention improves collaborative environments by providing real-time visual feedback of participant interactions.
16. The method of claim 15, wherein the number of viewers exceeds 1000.
Image and video processing. This invention relates to a system and method for generating a plurality of output images or videos. The system is configured to receive an input image or video and determine a plurality of processing parameters for the input image or video. Based on these parameters, the system generates a plurality of output images or videos. Specifically, the number of viewers receiving these generated output images or videos is greater than 1000. This suggests a scenario involving large-scale distribution or a broadcast of processed visual content to a significant audience. The invention focuses on the process of generating multiple versions of visual media, likely tailored or modified, and delivering them to a large number of recipients.
17. The method of claim 15, wherein the number of viewers exceeds 5000.
A system and method for managing and analyzing large-scale video streaming events involves tracking viewer engagement metrics in real-time. The system monitors a live video stream to detect and record viewer interactions, such as clicks, comments, or shares, and aggregates this data to generate engagement metrics. These metrics are used to assess audience interest and optimize content delivery. The system dynamically adjusts streaming parameters, such as bitrate or server load balancing, based on real-time engagement data to ensure smooth playback and minimize latency. Additionally, the system identifies and mitigates potential disruptions, such as network congestion or server failures, by analyzing engagement patterns and adjusting resources accordingly. The method is particularly effective for large-scale events, where the number of concurrent viewers exceeds 5,000, ensuring reliable performance and high-quality streaming for a broad audience. The system also provides analytics tools to help content creators and broadcasters refine their strategies based on viewer behavior insights.
18. The method of claim 15, wherein the number of viewers exceeds 10,000.
This invention relates to a method for managing and analyzing large-scale viewer data in a digital content distribution system. The problem addressed is the need to efficiently process and derive insights from viewer engagement metrics when the number of viewers exceeds 10,000, which presents challenges in data aggregation, real-time analysis, and resource optimization. The method involves collecting viewer interaction data, such as viewing duration, engagement patterns, and content preferences, from a distributed network of users. The data is processed using scalable computing techniques to handle the high volume of inputs, ensuring low-latency analysis. The system applies machine learning algorithms to identify trends, predict viewer behavior, and optimize content delivery based on real-time feedback. Additionally, the method includes dynamic resource allocation to balance computational load across servers, preventing bottlenecks during peak usage. The invention further includes generating reports and visualizations to present the analyzed data to content providers, enabling them to adjust their strategies for maximizing audience retention and engagement. The system also supports automated adjustments to content recommendations based on the aggregated viewer data, improving personalization and user satisfaction. By handling datasets from over 10,000 viewers, the method ensures robust performance and actionable insights for large-scale digital content platforms.
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May 13, 2022
November 29, 2022
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